Practical Data Analytics for Innovation in Medicine

Part I: Historical Perspective and the Issues of Concern for Health Care Delivery in the 21st Century1. History of Medical Health Care Delivery & Basic Medical Research2. "Things That Matter !!!" - Why This Book?3. Biomedical Informatics4. Access to Data for Analytics - the 'Biggest Issue' in Medical and Healthcare Predictive Analytics5. Regulatory Measures - Agencies, and Data Issues in Medicine and Healthcare6. Personalized Medicine7. Patient-Directed Healthcare8. OMICS or MULTIOMICS9. Challenges and Considerations of AI and GenomicsPart II: Practical Step-by-Step Tutorials and Case StudiesTUTORIAL A Case Study: Imputing Medical Specialty Using Data Mining ModelsTUTORIAL AA: VOC for Cancer Detection / PredictionTUTORIAL B Case Study: Using Association Rules of Investigate Characteristics of Hospital Readmissions TUTORIAL BB Case Study: COVID-19 Descriptive Analysis Around the WorldTUTORIAL C Constructing Decision Trees for Medicare Claims Using R and RattleTUTORIAL D Predictive and Prescriptive Analytics for Optimal Decisioning: Hospital Readmission Risk MitigationTUTORIAL E Obesity Group: Predicting Medicine and Conditions That Achieved the Greatest Weight Loss in a Group of Obese/Morbidly Obese PatientsTUTORIAL F1 Obesity Individual: Predicting Best Treatment or an Individual from Portal Data at a ClinicTUTORIAL F2 Obesity Individual: Automatic Binning of Continuous Variables and WoE to Produce a Better Model than the "Hand Binned" Stepwise Regression ModelTUTORIAL G Resiliency Study for First- and Second-Year Medical ResidentsTUTORIAL H Medicare Enrollment Analysis Using Visual Data MiningTUTORIAL I Case Study: Detection of Stress-Induced Ischemia in Patients with Chest Pain "Rule-Out ACS" ProtocolTUTORIAL J1 Predicting Survival or Mortality for Patients with Disseminated Intravascular Coagulation and/or Critical illnessesTUTORIAL J2 Decisioning for DICTUTORIAL K Predicting Allergy SymptomsTUTORIAL L Exploring Discrete Database Networks of TriCare Health Data Using R and ShinyTUTORIAL M Schistosomiasis Data from WHOTUTORIAL N The Poland Medical BundleTUTORIAL O Medical Advice Acceptance PredictionTUTORIAL P Using Neural Network Analysis to Assist in Classifying Neuropsychological DataTUTORIAL Q Developing Interactive Decision Trees using Inpatient Claims (with SAS Enterprise Miner)TUTORIAL R Divining Healthcare Charges for Optimal Health Benefits Under the Affordable Care ActTUTORIAL S Availability of Hospital Beds for Newly Admitted Patients: The Impact of Environmental Services on Hospital ThroughputTUTORIAL T Predicting Vascular Thrombosis: Comparing Predictive Analytic Models and Building an Ensemble Model for "Best Prediction"TUTORIAL U Predicting Breast Cancer Diagnosis Using Support Vector MachinesTUTORIAL V Heart Disease: Evaluating Variables That Might Have an Effect on Cholesterol Level (Using Recode of Variables Function) TUTORIAL W Blood Pressure Predictive FactorsTUTORIAL X Gene Search and the Related Risk Estimates: A Statistical Analysis of Prostate Cancer DataTUTORIAL Y Ovarian Cancer Prediction via Proteomic Mass SpectrometryTUTORIAL Z Influence of Stent Vendor Representatives in the Catheterization LabPart III: Practical Solutions and Advanced Topics in Administration and Delivery of Health Care Including Practical Predictive Analytics for Medicine1. Challenges for Healthcare Administration and Delivery: Integrating Predictive and Prescriptive Modeling into Personalized Health Care2. Challenges of Medical Research for the Remainder of the 21st Century3. Introduction to the Cornerstone Chapters of this Book, Chapters 12 -15: The "Three Processes": Quality Control, Predictive Analytics, and Decisioning4. The Nature of Insight from Data and Implications for Automated Decisioning: Predictive and Prescriptive Models, Decisions, and Actions5. Decisioning Systems (Platforms) Coupled with Predictive Analytics in a Real Hospital Setting - A Model for the World6.